# Harris County Taxsales Scraper (`quarterly_jingo/harris-county-taxsales-scraper`) Actor - **URL**: https://apify.com/quarterly\_jingo/harris-county-taxsales-scraper.md - **Developed by:** [Petey Boy](https://apify.com/quarterly_jingo) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Harris County Tax Sales Scraper ### Overview Scrapes Harris County (Texas) delinquent property tax sale foreclosure listings from hctax. net. Extracts property addresses, account numbers, minimum bids, adjudged values, sale types, judgment dates, tax years, and property descriptions. ### Features - Search by keywords to find specific results - Filter results by category or type - Export data in JSON, CSV, or Excel formats - Includes location and address data - Control output volume with configurable result limits - Built-in proxy support for reliable data collection ### Use Cases - **Track** - Track state and local government data and permits - **Monitor** - Monitor regulatory filings and public records - **Build** - Build databases for civic tech and transparency projects - **Aggregate** - Aggregate local government data for community research ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `maxItems` | integer | Maximum number of properties to scrape | `100` | | `precinct` | string | Filter by precinct number (1-8). Leave empty for all precincts. | `` | | `saleType` | string | Filter by sale type. SALE = standard tax sale, EOS = excess over suit (resale). | `` | | `statusFilter` | string | Filter by property status | `all` | | `minBidMin` | integer | Only include properties with minimum bid >= this amount (in USD) | | | `minBidMax` | integer | Only include properties with minimum bid <= this amount (in USD) | | | `adjudgedValueMin` | integer | Only include properties with adjudged value >= this amount (in USD) | | | `adjudgedValueMax` | integer | Only include properties with adjudged value <= this amount (in USD) | | | `zipCode` | string | Filter by ZIP code (exact match) | | | `includeDescription` | boolean | Include the full legal property description (may be lengthy) | true | | `proxyConfiguration` | object | Proxy settings for the scraper | `{...}` | ### Output Example Each result contains structured data like this: ```json { "address": "123 Main St", "city": "San Francisco", "zip": "94105", "accountNumber": 127, "causeNumber": "LIC-2025-001", "precinct": "Sample precinct", "saleType": "Sample saleType", "minimumBid": "ABC-12345", "adjudgedValue": "Sample adjudgedValue", "judgmentDate": "2025-01-15", "taxYears": "Sample taxYears", "status": "Active" } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.001** per result - **$1.00** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [Harris County Tax Sales Scraper](https://apify.com/fortuitous_pirate/harris-county-taxsales-scraper) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~harris-county-taxsales-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/harris-county-taxsales-scraper").call( run_input={"maxItems": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect Harris County Tax Sales Scraper with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of properties to scrape ## `precinct` (type: `string`): Filter by precinct number (1-8). Leave empty for all precincts. ## `saleType` (type: `string`): Filter by sale type. SALE = standard tax sale, EOS = excess over suit (resale). ## `statusFilter` (type: `string`): Filter by property status ## `minBidMin` (type: `integer`): Only include properties with minimum bid >= this amount (in USD) ## `minBidMax` (type: `integer`): Only include properties with minimum bid <= this amount (in USD) ## `adjudgedValueMin` (type: `integer`): Only include properties with adjudged value >= this amount (in USD) ## `adjudgedValueMax` (type: `integer`): Only include properties with adjudged value <= this amount (in USD) ## `zipCode` (type: `string`): Filter by ZIP code (exact match) ## `includeDescription` (type: `boolean`): Include the full legal property description (may be lengthy) ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "maxItems": 100, "precinct": "", "saleType": "", "statusFilter": "all", "includeDescription": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("quarterly_jingo/harris-county-taxsales-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("quarterly_jingo/harris-county-taxsales-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call quarterly_jingo/harris-county-taxsales-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quarterly_jingo/harris-county-taxsales-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Harris County Taxsales Scraper", "description": "", "version": "1.0", "x-build-id": "9KE3XGdW3djtLjCgY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quarterly_jingo~harris-county-taxsales-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quarterly_jingo-harris-county-taxsales-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quarterly_jingo~harris-county-taxsales-scraper/runs": { "post": { "operationId": "runs-sync-quarterly_jingo-harris-county-taxsales-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quarterly_jingo~harris-county-taxsales-scraper/run-sync": { "post": { "operationId": "run-sync-quarterly_jingo-harris-county-taxsales-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of properties to scrape", "default": 100 }, "precinct": { "title": "Precinct Filter", "enum": [ "", "1", "2", "3", "4", "5", "6", "7", "8" ], "type": "string", "description": "Filter by precinct number (1-8). Leave empty for all precincts.", "default": "" }, "saleType": { "title": "Sale Type Filter", "enum": [ "", "SALE", "EOS" ], "type": "string", "description": "Filter by sale type. SALE = standard tax sale, EOS = excess over suit (resale).", "default": "" }, "statusFilter": { "title": "Status Filter", "enum": [ "all", "forSale", "cancelled" ], "type": "string", "description": "Filter by property status", "default": "all" }, "minBidMin": { "title": "Minimum Bid - Lower Bound", "minimum": 0, "type": "integer", "description": "Only include properties with minimum bid >= this amount (in USD)" }, "minBidMax": { "title": "Minimum Bid - Upper Bound", "minimum": 0, "type": "integer", "description": "Only include properties with minimum bid <= this amount (in USD)" }, "adjudgedValueMin": { "title": "Adjudged Value - Lower Bound", "minimum": 0, "type": "integer", "description": "Only include properties with adjudged value >= this amount (in USD)" }, "adjudgedValueMax": { "title": "Adjudged Value - Upper Bound", "minimum": 0, "type": "integer", "description": "Only include properties with adjudged value <= this amount (in USD)" }, "zipCode": { "title": "ZIP Code Filter", "type": "string", "description": "Filter by ZIP code (exact match)" }, "includeDescription": { "title": "Include Property Description", "type": "boolean", "description": "Include the full legal property description (may be lengthy)", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper", "default": { "useApifyProxy": true } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```